Fatma Güney

Koç University — Turkey

Computer Science · Physical Sciences

14h-index2.1kcitations66works1.22yr avg
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Research Topics

Advanced Vision and Imaging(16), Advanced Neural Network Applications(9), Video Surveillance and Tracking Methods(9), Advanced Image and Video Retrieval Techniques(9), Autonomous Vehicle Technology and Safety(9)

Publications66 total

Zero-Shot Neural Architecture Search for Efficient Deep Stereo Matching
Lecture notes in computer science·2026
DepthP+P: Metric Accurate Monocular Depth Estimation using Planar and Parallax
Journal of Soft Computing and Artificial Intelligence·2025Open Access
Test-Time Correction: An Online 3D Detection System via Visual Prompting
IEEE Transactions on Pattern Analysis and Machine Intelligence·2025
Track-On2: Enhancing Online Point Tracking with Memory
arXiv (Cornell University)·2025Open Access
Mapping like a Skeptic: Probabilistic BEV Projection for Online HD Mapping
arXiv (Cornell University)·2025Open Access
A Likelihood Ratio-Based Approach to Segmenting Unknown Objects
International Journal of Computer Vision·2025· 6 citedOpen Access
ETA: Efficiency through Thinking Ahead, A Dual Approach to Self-Driving with Large Models
arXiv (Cornell University)·2025Open Access
Track-On: Transformer-based Online Point Tracking with Memory
arXiv (Cornell University)·2025Open Access
Segment-Level Road Obstacle Detection Using Visual Foundation Model Priors and Likelihood Ratios
2025· 1 citedOpen Access
An Updated Line List for Spectroscopic Investigation of G Stars- II: Refined Solar Abundances via Extended Wavelength Coverage to 10,000 Å
Physics and Astronomy Reports·2024· 4 citedOpen Access
Optimizing GNN-Based Multiple Object Tracking on a Graphcore IPU
Lecture notes in computer science·2024· 1 cited
Test-time Correction: An Online 3D Detection System via Visual Prompting
arXiv (Cornell University)·2024Open Access
O1O: Grouping of Known Classes to Identify Unknown Objects as Odd-One-Out
Lecture notes in computer science·2024
Segment-Level Road Obstacle Detection Using Visual Foundation Model Priors and Likelihood Ratios
arXiv (Cornell University)·2024· 1 citedOpen Access
CarFormer: Self-driving with Learned Object-Centric Representations
Lecture notes in computer science·2024· 4 cited
O1O: Grouping of Known Classes to Identify Unknown Objects as Odd-One-Out
arXiv (Cornell University)·2024Open Access
Near-Infrared Spectroscopy of the Sun and Solar Analog Star HD 76151: Compiling an Extensive Line List in Y-, J-, H-, and K-Bands
arXiv (Cornell University)·2024· 1 citedOpen Access
Robust Bird's Eye View Segmentation by Adapting DINOv2
arXiv (Cornell University)·2024· 2 citedOpen Access
Self-Evolving Depth-Supervised 3D Gaussian Splatting from Rendered Stereo Pairs
arXiv (Cornell University)·2024Open Access
A Likelihood Ratio-Based Approach to Segmenting Unknown Objects
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Andreas Geiger(10), Görkay Aydemir(6), Adil Kaan Akan(6), Nazir Nayal(6), Joel Janai(5), Youssef Shoeb(5), Michael J. Black(4), Mısra Yavuz(4), Nuri Murat Arar(4), Hazım Kemal Ekenel(4), Sadra Safadoust(4), Aseem Behl(3), Laura Sevilla-Lara(3), Hanno Gottschalk(3), Mahmut Marışmak(3), T. Şahìn(3), Shadi Hamdan(3), Yiyi Liao(2), Varun Jampani(2), Jonas Wulff(2)